Skip to main content

A Cirq package to simulate and connect to Rigetti quantum computers and Quil QVM

Project description

This is a development version of Cirq-rigetti and may be unstable.

For the latest stable release of Cirq-rigetti see here.

cirq-rigetti

Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators.

This module is cirq-rigetti, which provides everything you’ll need to run Cirq quantum algorithms on Rigetti quantum computers.

Documentation

To get started with Rigetti quantum computing services, checkout the following guide and tutorial:

Installation

To install the stable version of only cirq-rigetti, use pip install cirq-rigetti. To install the pre-release version of only cirq-rigetti, use pip install cirq-rigetti –pre.

Note, that this will install both cirq-rigetti and cirq-core.

To get all the optional modules installed, you’ll have to use pip install cirq or pip install cirq –pre for the pre-release version.

Development

Please see Cirq development documentation.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

File details

Details for the file cirq_rigetti-0.14.0.dev20211110015119-py3-none-any.whl.

File metadata

  • Download URL: cirq_rigetti-0.14.0.dev20211110015119-py3-none-any.whl
  • Upload date:
  • Size: 56.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for cirq_rigetti-0.14.0.dev20211110015119-py3-none-any.whl
Algorithm Hash digest
SHA256 90a65eb9ef12b7ea4d780fe11d509bc6a749f3174858c33cff1b8a83f26fc3f9
MD5 d0f730f791c39a26e009ef7d4e37f449
BLAKE2b-256 e89afab4b8c70ed2f3b76d92a3cbcd240297e3888df7a6c4240b8ddcdf0f2fe9

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page